← BioTransfer GEO Dataset Finder
GEO series

TRPS1 maintains luminal progenitors in the mammary gland by repressing SRF/MRTF activity [02_citeseq_shTRPS1_mmg]

GSE243508 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/05/24 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
TRPS1 maintains luminal progenitors in the mammary gland by repressing SRF/MRTF activityBreast cancer research : BCR · 2024
Summary (written by the submitters)
The GATA transcription factor TRPS1 is a context-dependent oncogene in breast cancer. In the mammary gland, TRPS1 activity is restricted to the luminal population and sustains the initial branching of the mammary ducts at puberty as well as the lactogenic differentiation during pregnancy. Its function in the resting mammary gland however, remains unclear.
Read the full summary ↓
To evaluate whether it could be a target for cancer therapy, we investigated TRPS1 function in the healthy resting mammary gland using a conditional ubiquitous depletion mouse model where long-term depletion does not affect fitness. we show that TRPS1 activity is critical to maintain a functional luminal progenitor compartment and that this involves the repression of the SRF/MRTF and the YAP/TAZ transcriptional program. Mechanistically, this repression involves Krt8-dependent RhoA modulation. Our work uncovers a hitherto undisclosed function of TRPS1 in luminal progenitors which is intrinsically linked to mechanotransduction in the mammary gland. It also provides new insights into the oncogenic functions of TRPS1 since luminal progenitors are likely the cells of origin of many breast cancers.
Published in
TRPS1 maintains luminal progenitors in the mammary gland by repressing SRF/MRTF activity
Tollot-Wegner M, Jessen M, Kim K et al. · Breast cancer research : BCR 2024 · PMID 38702730 · doi:10.1186/s13058-024-01824-7
This dataset
Open GSE243508 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE243508_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1018829 and SRA study SRP461675. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38702730) ↗
Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.